Evidence map›Paper›PMID 36204274›Full record

ArticleiScience2022

A vibration energy harvester for freight train track self-powered application.

Genshuo Liu, Zheng Fang, Zutao Zhang, Xing Tan, Chutian Dai, Xiaoping Wu, Zhou Jin, Dongyang Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Genshuo LiuSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, PR. China.
Zheng FangSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, PR. China.
Zutao ZhangSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, PR. China.
Xing TanSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, PR. China.
Chutian DaiSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, PR. China.
Xiaoping WuSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, PR. China.
Zhou JinChina Railway Wuhan Electrification Bureau Group Shanghai Electric Co., Ltd, Shanghai 201799, PR. China.
Dongyang LiChina Railway Wuhan Electrification Bureau Group Shanghai Electric Co., Ltd, Shanghai 201799, PR. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The safe and stable operation of the widely distributed freight trains urgently needs to solve the power supply problem of the freight train track monitoring network. In this article, an innovative and efficient energy harvesting mechanism is designed based on a mechanical vibration rectifier (MVR), with four modules of motion conversion, motion rectification, generator, and storage. The motion conversion module converts the linear vibration of the rail into rotational motion through the ball screw. The motion rectification module integrates mechanical rectification and transmission speed-up and converts the bidirectional rotation of the transmission shaft into a faster unidirectional rotation of the generator. Experiments show that the power and mechanical efficiency of the proposed vibration energy harvester can reach 28.0416W and 75.92%, respectively. This high-performance MVR can meet the power demand of wireless sensor networks by harvesting vibration energy to ensure the normal operation of freight trains.

Indexed as

Energy materialsEnergy transportationMaterials chemistryMaterials science

Identifiers

PMID36204274
PMCPMC9531176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.